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my_awesome_model
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3958
- Rouge1: 0.5268
- Rouge2: 0.3993
- Rougel: 0.5121
- Rougelsum: 0.5117
- Gen Len: 18.9971
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 15
- eval_batch_size: 15
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 275 | 0.8396 | 0.4085 | 0.2121 | 0.3896 | 0.3893 | 18.8847 |
| 1.5912 | 2.0 | 550 | 0.4959 | 0.5262 | 0.386 | 0.5069 | 0.5065 | 18.9952 |
| 1.5912 | 3.0 | 825 | 0.4168 | 0.5279 | 0.3979 | 0.5119 | 0.5115 | 18.9971 |
| 0.6574 | 4.0 | 1100 | 0.3958 | 0.5268 | 0.3993 | 0.5121 | 0.5117 | 18.9971 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
